Identification and Determination of Oil Pollutants Based on 3-D Fluorescence Spectrum Combined with Self-weighted Alternating Trilinear Decomposition Algorithm

다국어 초록 (Multilingual Abstract)

Oil pollution seriously endangers the biological environment and human health. Due to the diversityof oils and the complexity of oil composition, it is of great significance to identify the oil contaminants.
The 3-D fluorescence spectrum combined with a second order correction algorithm was adopted to measurean oil mixture with overlapped fluorescence spectra. The self-weighted alternating trilinear decomposition(SWATLD) is a kind of second order correction, which has developed rapidly in recent years. Micellarsolutions of #0 diesel, #93 gasoline and ordinary kerosene in different concentrations were made up. The3-D fluorescence spectra of the mixed oil solutions were measured by a FLS920 fluorescence spectrometer.
The SWATLD algorithm was applied to decompose the spectrum data. The predict concentration andrecovery rate obtained by the experiment show that the SWATLD algorithm has advantages of insensitivityto component number and high resolution for mixed oils.

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